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Advanced Analytics

Advanced Analytics

Putting The Power of Your Data to Work

Analytics is the heart of insights. From the origins of The Matters Group as Confluence Digital over a decade ago we were founded on the premise that data holds insights and when properly leveraged, is fundamental to achieving the results you seek. The emergence of artificial intelligence and sub-disciplines of machine learning (ML), deep learning (DL), and natural language processing (NLP) are enabling insights with the potential to change the trajectory of companies. We’ve embraced these emerging technologies with the intent of uncovering insights that lead to increased ROI for clients in real-world implementations, not theories.

So What Is Advanced Analytics?

The term Advanced Analytics is simply an umbrella term that encompasses areas of data analysis and emerging techniques and technologies such as; artificial intelligence, predictive analytics, data visualization, big data, multivariate statistics, sentiment analysis, network/cluster analysis, regression modeling, and a bunch of other terms you likely avoided in college. 

Here’s the short answer: advanced analytics is the use of statistical analysis to uncover patterns in data and translate the findings into actionable insights. 

“Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations.”Gartner Group

Your firm likely has business and financial analysts on staff. These roles can often form the start of an Analytics or Data Science team, but they may not be experienced in deploying complex models into practice. That’s where the Matters Group can assist.

What Can Advanced Analytics Do for Me?

Our ability to cost-effectively deploy implementable analytical models is enabling breakthrough insights for our clients. Some of the challenges we’re able to develop solutions for include:

  • Predictive analytics for customer behavior, audience targeting, recommendation engines, and more
  • Media campaign optimization and assessing long term impact of messaging on consumer brands preference
  • Micro-segmentation of consumers to deliver personalized experiences based upon their digital behavior
  • Campaign creative recommendations to assist Creative Directors in developing ideas and creative campaign themes
  • Product/service development matched to customer needs and profitability targets
  • Precise real-time analytics based on customer behaviors and operational data

The list above is just a basic list of potential ways AI can be applied to marketing challenges. The bottom line is AI-powered analytics provides a level of insight and precision previously unattainable with traditional business intelligence (BI) tools. While AI may not be applicable to every number crunching challenge today, analytical skills and maturity in the organization are a key factor that differentiates leading firms from laggards. 

Case Studies

Case Study - Vigor Industrial

Case Study - Vigor Industrial

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Case Study - Banana Brothers

Case Study - Banana Brothers

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Case Study - Liquid Planner

Case Study - Liquid Planner

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Case Study - Krusteaz

Case Study - Krusteaz

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Case Study - Blue Cross Blue Shield

Case Study - Blue Cross Blue Shield

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Case Study - Expedition Trips

Case Study - Expedition Trips

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Case Study - Banner Bank

Case Study - Banner Bank

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Case Study - UC4

Case Study - UC4

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Recent Blog Articles - Advanced Analytics

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